Josh Dillon, Last Revised January 2022
This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')
antenna = "193" csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_" auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')
Found 137 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_ Found 135 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0
def jd_to_summary_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'
def jd_to_auto_metrics_url(jd):
return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'
this_antenna = None
jds = []
# parse information about antennas and nodes
for csv in csvs:
df = pd.read_csv(csv)
for n in range(len(df)):
# Add this day to the antenna
row = df.loc[n]
if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
else:
antnum = int(row['Ant'])
if antnum != int(antenna):
continue
if np.issubdtype(type(row['Node']), np.integer):
row['Node'] = str(row['Node'])
if type(row['Node']) == str and row['Node'].isnumeric():
row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
if this_antenna is None:
this_antenna = Antenna(row['Ant'], row['Node'])
jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
jds.append(jd)
this_antenna.add_day(jd, row)
break
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]
df = pd.DataFrame(to_show)
# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
df[col] = bar_cols[col]
z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
df[col] = z_score_cols[col]
ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
df[col] = ant_metrics_cols[col]
redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]
for col in redcal_cols:
df[col] = redcal_cols[col]
# style dataframe
table = df.style.hide_index()\
.applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
.background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
.background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
.applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
.applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
.bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
.format({col: '{:,.4f}'.format for col in z_score_cols}) \
.format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
.format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
.set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])
This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))
| JDs | A Priori Status | Auto Metrics Flags | Dead Fraction in Ant Metrics (Jee) | Dead Fraction in Ant Metrics (Jnn) | Crossed Fraction in Ant Metrics | Flag Fraction Before Redcal | Flagged By Redcal chi^2 Fraction | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | Average Dead Ant Metric (Jee) | Average Dead Ant Metric (Jnn) | Average Crossed Ant Metric | Median chi^2 Per Antenna (Jee) | Median chi^2 Per Antenna (Jnn) |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2459954 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.586619 | 0.673781 | 5.565457 | 2.125544 | 8.022530 | 2.779532 | -4.626355 | -0.178334 | 0.5676 | 0.6125 | 0.4238 | nan | nan |
| 2459953 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.066357 | 0.215694 | 5.686262 | 1.692641 | 8.874684 | 1.674063 | -3.082633 | 0.870714 | 0.5756 | 0.6194 | 0.4194 | nan | nan |
| 2459952 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.065593 | 0.811645 | 5.732581 | 2.100175 | 6.832706 | 1.941058 | -5.130520 | 0.361359 | 0.5757 | 0.6188 | 0.4214 | nan | nan |
| 2459951 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.031680 | 0.122055 | 4.917246 | 1.125962 | 6.153898 | 1.101030 | -5.360827 | -0.912536 | 0.5841 | 0.6328 | 0.4257 | nan | nan |
| 2459950 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.430785 | 0.905237 | 5.207182 | 1.727845 | 8.001280 | 2.281799 | -3.154879 | -0.797781 | 0.5795 | 0.6287 | 0.4319 | nan | nan |
| 2459949 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.266617 | 0.040787 | 5.133711 | 1.070133 | 6.805816 | 1.303985 | -3.159562 | 0.469969 | 0.5730 | 0.6153 | 0.4295 | nan | nan |
| 2459918 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.949566 | 0.320068 | 4.373400 | 1.019082 | 5.471017 | 0.006854 | -1.838860 | -0.478150 | 0.5987 | 0.6489 | 0.4347 | nan | nan |
| 2459917 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.944097 | 0.112835 | 4.769569 | 1.329199 | 3.711743 | -0.279104 | -4.376543 | 0.141692 | 0.6434 | 0.6898 | 0.5009 | nan | nan |
| 2459916 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.830381 | 0.110221 | 3.951701 | 0.699971 | 5.661671 | -0.145139 | -4.606181 | -0.149306 | 0.5991 | 0.6528 | 0.4406 | nan | nan |
| 2459915 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.297943 | 0.583750 | 5.309153 | 1.793038 | 6.377683 | 1.800340 | 0.641568 | -0.517170 | 0.6319 | 0.6845 | 0.4074 | nan | nan |
| 2459914 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.526320 | 0.613388 | 6.054621 | 2.133550 | 6.896548 | 1.409346 | 5.141694 | 0.269426 | 0.6531 | 0.7102 | 0.3692 | nan | nan |
| 2459913 | digital_ok | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.902721 | 0.360878 | 5.122978 | 1.235539 | 7.161248 | 1.117427 | 1.463231 | -0.187089 | 0.6043 | 0.6471 | 0.4375 | nan | nan |
| 2459876 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.534848 | 2.251973 | 42.937356 | 26.034257 | 26.033159 | 16.985320 | -7.858508 | -1.358243 | 0.6294 | 0.6503 | 0.4285 | nan | nan |
| 2459875 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.525572 | 1.615870 | 58.096360 | 35.955273 | 11.715658 | 5.269045 | -2.031571 | 2.549477 | 0.6288 | 0.6802 | 0.4439 | nan | nan |
| 2459874 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 14.464054 | 2.140694 | 29.737948 | 16.621577 | 15.644978 | 9.444759 | -6.048719 | 0.102853 | 0.6216 | 0.6475 | 0.4239 | nan | nan |
| 2459873 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.724909 | 1.195713 | 40.417573 | 22.774727 | 6.192315 | 2.179806 | -3.951083 | 0.109015 | 0.6259 | 0.6450 | 0.4200 | nan | nan |
| 2459872 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.746468 | 1.485439 | 54.002276 | 33.056434 | 17.536889 | 9.472775 | -4.822167 | -0.433612 | 0.6251 | 0.6490 | 0.4285 | nan | nan |
| 2459871 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.963522 | 1.094925 | 54.621344 | 33.754879 | 16.014037 | 9.041217 | -3.269394 | -0.896064 | 0.6267 | 0.6429 | 0.4264 | nan | nan |
| 2459870 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 12.574494 | 2.047497 | 39.325028 | 22.286509 | 9.381376 | 4.071909 | -6.670072 | -0.297946 | 0.6308 | 0.6517 | 0.4327 | nan | nan |
| 2459869 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 10.718363 | 1.790995 | 38.168686 | 21.759365 | 13.947540 | 4.536181 | 0.880332 | 0.951069 | 0.6417 | 0.6734 | 0.4290 | nan | nan |
| 2459868 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 11.895061 | 2.483904 | 62.012592 | 38.535546 | 9.660038 | 5.135769 | -7.336948 | -1.007841 | 0.6254 | 0.6463 | 0.4409 | nan | nan |
| 2459867 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 8.497590 | 1.056352 | 48.862249 | 27.892358 | 5.127659 | 1.383337 | -4.968604 | -0.234554 | 0.6391 | 0.6519 | 0.4420 | nan | nan |
| 2459866 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.374343 | 1.730649 | 45.594071 | 27.963016 | 5.787089 | 2.271993 | -3.246953 | -1.173621 | 0.6403 | 0.6530 | 0.4336 | nan | nan |
| 2459865 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.320221 | 1.284298 | 60.352554 | 34.623085 | 13.359738 | 4.464874 | 11.986071 | 6.096808 | 0.6595 | 0.6698 | 0.4169 | nan | nan |
| 2459864 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 12.138603 | 1.861974 | 28.153948 | 16.361781 | 7.217470 | 2.397709 | -7.628299 | 1.015387 | 0.6427 | 0.6507 | 0.4517 | nan | nan |
| 2459863 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 7.709000 | 0.188639 | 5.444577 | 1.881038 | 2.472098 | -0.698821 | -4.392338 | -0.283162 | 0.6359 | 0.6375 | 0.4428 | nan | nan |
| 2459862 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 9.592175 | 1.130244 | 34.111932 | 21.102687 | 10.693847 | 5.541681 | -3.406624 | -0.482516 | 0.6149 | 0.6673 | 0.4576 | nan | nan |
| 2459861 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.430560 | -0.450214 | 3.924463 | 0.043719 | 1.770414 | -1.417377 | -4.612895 | -0.543161 | 0.6546 | 0.6481 | 0.4518 | nan | nan |
| 2459860 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 6.947070 | 0.771349 | 25.752949 | 16.177223 | 13.221566 | 6.671216 | -3.597355 | -1.057142 | 0.6578 | 0.6520 | 0.4501 | nan | nan |
| 2459859 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 5.038696 | -0.396820 | 4.020718 | 0.438765 | 1.750461 | -2.009488 | -3.194605 | -1.184726 | 0.6622 | 0.6561 | 0.4476 | nan | nan |
| 2459858 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 5.369310 | -0.409105 | 3.840205 | 0.170526 | 1.683076 | -2.180717 | -4.919768 | -1.079310 | 0.6746 | 0.6639 | 0.4590 | 2.554235 | 2.535233 |
| 2459857 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | - | - | 18.318331 | 17.990711 | 23.089285 | 18.126771 | 10.125574 | 100.148981 | -11.939540 | 10.732531 | 0.6700 | 0.6799 | 0.4567 | nan | nan |
| 2459856 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.096414 | 1.296521 | 23.465337 | 14.759859 | 6.000535 | 3.616836 | -4.665199 | -1.652871 | 0.6604 | 0.6790 | 0.4484 | 2.619419 | 2.797725 |
| 2459855 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 11.208719 | 1.657070 | 26.684271 | 16.842437 | 2.151837 | 0.787544 | -3.183822 | -0.985429 | 0.6328 | 0.6947 | 0.4870 | 2.537012 | 2.711368 |
| 2459854 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 11.236197 | 0.533822 | 21.864580 | 13.141439 | 2.911457 | 0.842249 | -4.548063 | -1.046801 | 0.6596 | 0.7196 | 0.4884 | 2.637525 | 2.722886 |
| 2459853 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 7.949639 | 1.140003 | 27.982061 | 18.076573 | 6.357228 | 2.711129 | -5.757760 | -1.361464 | 0.6897 | 0.6689 | 0.4680 | 2.882133 | 2.916085 |
| 2459852 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.640062 | 3.158326 | 28.070139 | 17.020841 | 14.166186 | 7.818951 | 16.070877 | 11.804487 | 0.7582 | 0.8014 | 0.3419 | 4.871685 | 5.367064 |
| 2459851 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459850 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 8.640245 | 1.883720 | 26.494214 | 16.815634 | 8.958836 | 7.053869 | -2.074525 | 7.310098 | 0.6951 | 0.7390 | 0.3944 | 2.273389 | 2.396277 |
| 2459849 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 10.024896 | 1.820623 | 51.366547 | 33.408243 | 6.141154 | 3.355473 | -4.578856 | -0.780441 | 0.6887 | 0.7288 | 0.4031 | 3.050651 | 3.197142 |
| 2459848 | not_connected | 100.00% | 100.00% | 100.00% | 0.00% | 100.00% | 0.00% | nan | nan | inf | inf | nan | nan | nan | nan | nan | nan | nan | 0.000000 | 0.000000 |
| 2459847 | not_connected | 100.00% | 0.00% | 0.00% | 0.00% | 100.00% | 0.00% | 9.222930 | 1.541895 | 35.589089 | 23.138087 | 18.792445 | 10.512697 | -3.709778 | -0.824812 | 0.6773 | 0.6621 | 0.4721 | 6.085298 | 5.653795 |
auto_metrics notebooks.¶htmls_to_display = []
for am_html in auto_metric_htmls:
html_to_display = ''
# read html into a list of lines
with open(am_html) as f:
lines = f.readlines()
# find section with this antenna's metric plots and add to html_to_display
jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
try:
section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
except ValueError:
continue
html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
for line in lines[section_start_line + 1:]:
html_to_display += line
if '<hr' in line:
htmls_to_display.append(html_to_display)
break
These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.
for i, html_to_display in enumerate(htmls_to_display):
if i == 100:
break
display(HTML(html_to_display))
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | digital_ok | ee Temporal Variability | 8.022530 | 0.673781 | 7.586619 | 2.125544 | 5.565457 | 2.779532 | 8.022530 | -0.178334 | -4.626355 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | digital_ok | ee Temporal Variability | 8.874684 | 0.215694 | 7.066357 | 1.692641 | 5.686262 | 1.674063 | 8.874684 | 0.870714 | -3.082633 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | digital_ok | ee Shape | 8.065593 | 0.811645 | 8.065593 | 2.100175 | 5.732581 | 1.941058 | 6.832706 | 0.361359 | -5.130520 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | digital_ok | ee Temporal Variability | 6.153898 | 0.122055 | 6.031680 | 1.125962 | 4.917246 | 1.101030 | 6.153898 | -0.912536 | -5.360827 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | digital_ok | ee Temporal Variability | 8.001280 | 0.905237 | 7.430785 | 1.727845 | 5.207182 | 2.281799 | 8.001280 | -0.797781 | -3.154879 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | digital_ok | ee Shape | 7.266617 | 7.266617 | 0.040787 | 5.133711 | 1.070133 | 6.805816 | 1.303985 | -3.159562 | 0.469969 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | digital_ok | ee Shape | 7.949566 | 0.320068 | 7.949566 | 1.019082 | 4.373400 | 0.006854 | 5.471017 | -0.478150 | -1.838860 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | digital_ok | ee Shape | 6.944097 | 0.112835 | 6.944097 | 1.329199 | 4.769569 | -0.279104 | 3.711743 | 0.141692 | -4.376543 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | digital_ok | ee Shape | 6.830381 | 6.830381 | 0.110221 | 3.951701 | 0.699971 | 5.661671 | -0.145139 | -4.606181 | -0.149306 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | digital_ok | ee Shape | 7.297943 | 7.297943 | 0.583750 | 5.309153 | 1.793038 | 6.377683 | 1.800340 | 0.641568 | -0.517170 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | digital_ok | ee Shape | 7.526320 | 7.526320 | 0.613388 | 6.054621 | 2.133550 | 6.896548 | 1.409346 | 5.141694 | 0.269426 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | digital_ok | ee Shape | 7.902721 | 0.360878 | 7.902721 | 1.235539 | 5.122978 | 1.117427 | 7.161248 | -0.187089 | 1.463231 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 42.937356 | 9.534848 | 2.251973 | 42.937356 | 26.034257 | 26.033159 | 16.985320 | -7.858508 | -1.358243 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 58.096360 | 10.525572 | 1.615870 | 58.096360 | 35.955273 | 11.715658 | 5.269045 | -2.031571 | 2.549477 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 29.737948 | 14.464054 | 2.140694 | 29.737948 | 16.621577 | 15.644978 | 9.444759 | -6.048719 | 0.102853 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 40.417573 | 10.724909 | 1.195713 | 40.417573 | 22.774727 | 6.192315 | 2.179806 | -3.951083 | 0.109015 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 54.002276 | 1.485439 | 9.746468 | 33.056434 | 54.002276 | 9.472775 | 17.536889 | -0.433612 | -4.822167 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 54.621344 | 1.094925 | 7.963522 | 33.754879 | 54.621344 | 9.041217 | 16.014037 | -0.896064 | -3.269394 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 39.325028 | 12.574494 | 2.047497 | 39.325028 | 22.286509 | 9.381376 | 4.071909 | -6.670072 | -0.297946 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 38.168686 | 10.718363 | 1.790995 | 38.168686 | 21.759365 | 13.947540 | 4.536181 | 0.880332 | 0.951069 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 62.012592 | 11.895061 | 2.483904 | 62.012592 | 38.535546 | 9.660038 | 5.135769 | -7.336948 | -1.007841 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 48.862249 | 8.497590 | 1.056352 | 48.862249 | 27.892358 | 5.127659 | 1.383337 | -4.968604 | -0.234554 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 45.594071 | 1.730649 | 9.374343 | 27.963016 | 45.594071 | 2.271993 | 5.787089 | -1.173621 | -3.246953 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 60.352554 | 9.320221 | 1.284298 | 60.352554 | 34.623085 | 13.359738 | 4.464874 | 11.986071 | 6.096808 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 28.153948 | 1.861974 | 12.138603 | 16.361781 | 28.153948 | 2.397709 | 7.217470 | 1.015387 | -7.628299 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Shape | 7.709000 | 7.709000 | 0.188639 | 5.444577 | 1.881038 | 2.472098 | -0.698821 | -4.392338 | -0.283162 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 34.111932 | 9.592175 | 1.130244 | 34.111932 | 21.102687 | 10.693847 | 5.541681 | -3.406624 | -0.482516 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Shape | 5.430560 | -0.450214 | 5.430560 | 0.043719 | 3.924463 | -1.417377 | 1.770414 | -0.543161 | -4.612895 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 25.752949 | 6.947070 | 0.771349 | 25.752949 | 16.177223 | 13.221566 | 6.671216 | -3.597355 | -1.057142 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Shape | 5.038696 | 5.038696 | -0.396820 | 4.020718 | 0.438765 | 1.750461 | -2.009488 | -3.194605 | -1.184726 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Shape | 5.369310 | -0.409105 | 5.369310 | 0.170526 | 3.840205 | -2.180717 | 1.683076 | -1.079310 | -4.919768 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | nn Temporal Variability | 100.148981 | 17.990711 | 18.318331 | 18.126771 | 23.089285 | 100.148981 | 10.125574 | 10.732531 | -11.939540 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 23.465337 | 9.096414 | 1.296521 | 23.465337 | 14.759859 | 6.000535 | 3.616836 | -4.665199 | -1.652871 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 26.684271 | 1.657070 | 11.208719 | 16.842437 | 26.684271 | 0.787544 | 2.151837 | -0.985429 | -3.183822 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 21.864580 | 0.533822 | 11.236197 | 13.141439 | 21.864580 | 0.842249 | 2.911457 | -1.046801 | -4.548063 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 27.982061 | 1.140003 | 7.949639 | 18.076573 | 27.982061 | 2.711129 | 6.357228 | -1.361464 | -5.757760 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 28.070139 | 8.640062 | 3.158326 | 28.070139 | 17.020841 | 14.166186 | 7.818951 | 16.070877 | 11.804487 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 26.494214 | 8.640245 | 1.883720 | 26.494214 | 16.815634 | 8.958836 | 7.053869 | -2.074525 | 7.310098 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | ee Shape Modified Z-Score | nn Shape Modified Z-Score | ee Power Modified Z-Score | nn Power Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Discontinuties Modified Z-Score | nn Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 51.366547 | 10.024896 | 1.820623 | 51.366547 | 33.408243 | 6.141154 | 3.355473 | -4.578856 | -0.780441 |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | nn Shape | nan | nan | nan | inf | inf | nan | nan | nan | nan |
| Ant | Node | A Priori Status | Worst Metric | Worst Modified Z-Score | nn Shape Modified Z-Score | ee Shape Modified Z-Score | nn Power Modified Z-Score | ee Power Modified Z-Score | nn Temporal Variability Modified Z-Score | ee Temporal Variability Modified Z-Score | nn Temporal Discontinuties Modified Z-Score | ee Temporal Discontinuties Modified Z-Score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 193 | N16 | not_connected | ee Power | 35.589089 | 1.541895 | 9.222930 | 23.138087 | 35.589089 | 10.512697 | 18.792445 | -0.824812 | -3.709778 |